一致性迭代学习

a pll example in matlab

生成白噪声，利用kalman滤波生成模型，卡尔曼滤波稳态值求解(Generate white noise, the use of kalman filter generation model, Kalman filter for solving steady-state value)

matlab平台上，对一副图像进行阈值处理分割出2值图像的结果.里面包含了很多阈值处理代码(on matlab platform, a pair of image thresholding segmentation results of the binary image. which contains a lot of threshold processing code)

说明：  这个是基于ASM和AAM编写的手势识别的matlab代码(This is written based on ASM and AAM gesture recognition matlab code)

说明：  关于信号输入均匀量化器的信号幅度，用MATLAB实现量化过程(Uniform quantizer on the input signal amplitude, using MATLAB to quantify the process of achieving)

该工具箱包括了混沌时间序列分析与预测的常用方法,有: 产生混沌时间序列(chaotic time series) Logistic映射 - ChaosAttractorsMain_Logistic.m Henon映射 - ChaosAttractorsMain_Henon.m Lorenz吸引子 - ChaosAttractorsMain_Lorenz.m Duffing吸引子 - ChaosAttractorsMain_Duffing.m Duffing2吸引子 - ChaosAttractorsMain_Duffing2.m Rossler吸引子 - ChaosAttractorsMain_Rossler.m Chens吸引子 - ChaosAttractorsMain_Chens.m (The kit includes a chaotic time series analysis and prediction of commonly used methods are: generate chaotic time series (chaotic time series) Logistic map- ChaosAttractors Main_Logistic.m Henon map- ChaosAttractors Main_Henon.m Lorenz attractor- ChaosAttractors Main_Lorenz.m Duffing attractor- ChaosAttractors Main_Duffing.m Duffing2 attractor- ChaosAttractors Main_Duffing2.m Rossler attractor- ChaosAttractors Main_Rossler.m Chens attractor- ChaosAttractors Main_Chens.m)

一种正则化正交匹配追踪ROMP算法的matlab源程序，一个函数，方便使用(A New Regularized Orthogonal Matching Pursuit ROMP algorithm matlab source, a function, easy to use)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

evolutionary algorithm to optimize of fitness functions

新颖的BP神经网络，加入了遗传算法改进，并且样本数可调(Novel BP neural network, adding a genetic algorithm to improve, and the number of samples is adjustable)